Name: David
Type: User
Company: The Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem
Bio: Numerical modeling & remote sensing of the vegetation, including soil-water flow, crop growth and insect pest population dynamics
Location: POB 12, Rehovot 7610001, Israel
Blog: http://davidhelman.weebly.com/
David's Projects
AgML aspires to identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research and support enhanced collaboration and engagement between experts in these disciplines.
Clip and Ship application to batch clip using Planet's Clip API
Crop RS-Met is a proximal sensing-based model for ET and soil water content for crops in IDL
Python Multivariate Land Data Assimilation System with High Performance Computing for CLM 4.5
Google Earth Engine Batch Asset Manager
HiClimR: Hierarchical Climate Regionalization
Fully parallel global HYBRID using new hydrology.
HydroSoil is a numerical model for soil-water flow simulations under construction
IDL version of the WOFOST 7.1 crop simulation model
Oil Palm Growth and Yield Model
Python package to generate vegetation index timeseries from PhenoCam images.
Unsaturated soil water flow model
Earthdata Webinar March 2019
RS-PestDyn is an insect pest population dynamics model driven by satellite-derived information
The official repository for the Weather Research and Forecasting (WRF) model
Delineate region of interest and extract time-series data from digital repeat photography images
Youtube channel programs and resources.